Python
License Plate Recognition at Three Thousand Frames per Second
A look at fast-plate-ocr, a lightweight library for license plate recognition that achieves up to 14,000 plates per second using compact CCT models and ONNX Runtime.
#tensorflow
3 projects Jupyter
How Not to Drown in a Sea of ML Content and Build Your Own Learning Roadmap
Discover a curated Korean ML learning roadmap with 3,000+ stars. From pandas basics to GANs and LLMs — a structured path through the noise.
Python
Keras 3 — Your All-Access Pass to Deep Learning
Keras 3 unifies TensorFlow, PyTorch, and JAX in one framework. Get up to 350% performance boost by switching backends with a single line of code.